Periodic Solution of Cohen-Grossberg Neural Networks with Variable Coefficients

摘要

In this paper, the periodic solution for a class of Cohen-Grossberg neural networks with variable coefficients is discussed. By using inequality analysis technique and matrix theory, some new sufficient conditions are obtained to ensure the existence, uniqueness, global at-tractivity and exponential stability of the periodic solution. An example is given to show the effectiveness of the obtained results.